中国电力2025,Vol.58Issue(12):14-26,13.DOI:10.11930/j.issn.1004-9649.202504010
面向电网需求响应的空调负荷异质性建模与低维广播协同调控方法
Heterogeneity Modeling and Low-Dimensional Broadcast Cooperative Control of Air Conditioning Load for Power Grid Demand Response
摘要
Abstract
To address the demand for refined regulation of large-scale heterogeneous air-conditioning loads in power grid demand response,a second-order equivalent thermal parameter model is firstly used to derive the steady-state operating power of air conditioners,and the heterogeneity of air-conditioning parameters is characterized by a Gaussian mixture model to accurately calculate the regulation capacity.Then,an innovative low-dimensional broadcast signal control strategy of"central guidance+local autonomy"is designed.A Markov chain model combined with an augmented Lagrangian function is used to find the optimal temperature rise probability in different temperature intervals,balancing the power grid demand and economic cost constraints.Finally,the proposed method is verified through simulation analysis.The results show that the calculation accuracy of regulation capacity reaches 97.5%in a heterogeneous sample set of 50000 air conditioners,which can stably provide a maximum load reduction of 11188.12 kW.Moreover,the broadcast strategy can dynamically track the grid demand power and effectively alleviate the summer grid peak pressure.The proposed method provides theoretical support and a practical solution for large-scale thermostatically controlled loads to participate in demand response.关键词
空调负荷/调节容量评估/高斯混合模型/马尔可夫链/拉格朗日函数Key words
conditioning load/regulation capacity assessment/Gaussian mixture model/Markov chain/Lagrangian function引用本文复制引用
YU Junyi,LIAO Siyang,KE Deping,ZHANG Jie..面向电网需求响应的空调负荷异质性建模与低维广播协同调控方法[J].中国电力,2025,58(12):14-26,13.基金项目
国家重点研发计划资助项目(2023YFB2407300) (2023YFB2407300)
中国南方电网责任有限公司科技项目(YNKJXM20222103). This work is supported by the National Key Research and Development Program of China(No.2023YFB2407300)and the Science and Technology Project of China Southern Power Grid Co.,Ltd.(No.YNKJXM20222103). (YNKJXM20222103)